메뉴 건너뛰기




Volumn , Issue , 2012, Pages 3378-3381

Incorporating contextual knowledge to Dynamic Bayesian Networks for event recognition

Author keywords

[No Author keywords available]

Indexed keywords

CONTEXTUAL KNOWLEDGE; DYNAMIC BAYESIAN NETWORKS; EVENT RECOGNITION; INTRA-CLASS VARIATION; NATURAL SCENES; OBJECT INTERACTIONS; PROBABILISTIC GRAPHICAL MODELS (PGM); SURVEILLANCE VIDEO; UNIFIED MODEL;

EID: 84874564230     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (13)

References (18)
  • 1
    • 80052874112 scopus 로고    scopus 로고
    • Learning context for collective activity recognition
    • W. Choi, K. Shahid, and S. Savarese. Learning context for collective activity recognition. In CVPR, 2011.
    • (2011) CVPR
    • Choi, W.1    Shahid, K.2    Savarese, S.3
  • 4
    • 35148899327 scopus 로고    scopus 로고
    • Objects in action: An approach for combining action understanding and object perception
    • A. Gupta and L. Davis. Objects in action: An approach for combining action understanding and object perception. In CVPR, 2007.
    • (2007) CVPR
    • Gupta, A.1    Davis, L.2
  • 5
    • 70449582001 scopus 로고    scopus 로고
    • Learning spatial context: Using stuff to find things
    • G. Heitz and D. Koller. Learning spatial context: Using stuff to find things. In ECCV. 2008.
    • (2008) ECCV.
    • Heitz, G.1    Koller, D.2
  • 7
    • 77955993558 scopus 로고    scopus 로고
    • Learning a hierarchy of discriminative space-time neighborhood features for human action recognition
    • A. Kovashka and K. Grauman. Learning a hierarchy of discriminative space-time neighborhood features for human action recognition. In CVPR, 2010.
    • (2010) CVPR
    • Kovashka, A.1    Grauman, K.2
  • 8
    • 51949083365 scopus 로고    scopus 로고
    • Learning realistic human actions from movies
    • I. Laptev, M. Marszalek, and etc. Learning realistic human actions from movies. In CVPR, 2008.
    • (2008) CVPR
    • Laptev, I.1    Marszalek, M.2
  • 9
    • 50649103674 scopus 로고    scopus 로고
    • What, where and who? classifying events by scene and object recognition
    • L.-J. Li and L. Fei-Fei. What, where and who? classifying events by scene and object recognition. In ICCV, 2007.
    • (2007) ICCV
    • Li, L.-J.1    Fei-Fei, L.2
  • 11
    • 78149473217 scopus 로고    scopus 로고
    • Unsupervised learning of activities in video using scene context
    • S. Oh and A. Hoogs. Unsupervised learning of activities in video using scene context. In ICPR, 2010.
    • (2010) ICPR
    • Oh, S.1    Hoogs, A.2
  • 12
    • 80052890615 scopus 로고    scopus 로고
    • A large-scale benchmark dataset for event recognition in surveillance video
    • S. Oh, A. Hoogs, and etc. A large-scale benchmark dataset for event recognition in surveillance video. In CVPR, 2011.
    • (2011) CVPR
    • Oh, S.1    Hoogs, A.2
  • 14
    • 51849087116 scopus 로고    scopus 로고
    • Object recognition by scene alignment
    • B. Russell, A. Torralba, and etc. Object recognition by scene alignment. In NIPS. 2007.
    • (2007) NIPS.
    • Russell, B.1    Torralba, A.2
  • 15
    • 10044233701 scopus 로고    scopus 로고
    • Recognizing human actions: A local svm approach
    • C. Schuldt, I. Laptev, and B. Caputo. Recognizing human actions: a local svm approach. In ICPR, 2004.
    • (2004) ICPR
    • Schuldt, C.1    Laptev, I.2    Caputo, B.3
  • 17
    • 80052885961 scopus 로고    scopus 로고
    • Action recognition with multiscale spatio-temporal contexts
    • J. Wang, Z. Chen, and Y. Wu. Action recognition with multiscale spatio-temporal contexts. CVPR. 2011.
    • (2011) CVPR
    • Wang, J.1    Chen, Z.2    Wu, Y.3
  • 18
    • 77955988492 scopus 로고    scopus 로고
    • Modeling mutual context of object and human pose in human-object interaction activities
    • B. Yao and L. Fei-Fei. Modeling mutual context of object and human pose in human-object interaction activities. In CVPR, 2010.
    • (2010) CVPR
    • Yao, B.1    Fei-Fei, L.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.